babytreecc/ICLR2025review · Datasets at Hugging Face

0VP3LuzZ8K

Generalization of noisy SGD under isoperimetry

main

Active

generalization;langevin;non-convex;information theory

learning theory

3;5;6;8

3;4;2;3

4;2;3;3

2;2;3;3

3;2;2;3

5.5

3

2.5

-0.196116

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0Wl6h2CZeJ

RealTracker: Simpler and Better Point Tracking by Pseudo-Labelling Real Videos

main

Active

Point tracking;Optical flow;Motion estimation;Pseudo labelling

applications to computer vision, audio, language, and other modalities

5;5;6;6

4;3;5;4

3;3;3;3

3;2;2;3

3;3;3;3

5.5

4

3

2.5

3

0.707107

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0WqAnYWi7H

Mitigating Distribution Shifts: Uncertainty-Aware Offline-to-Online Reinforcement Learning

main

Active

Reinforcement learning;Out-of-distribution detection;Uncertainty estimation;Offline RL

reinforcement learning

3;3;3;5;6

4;5;3;3;4

2;2;3;3;3

2;2;2;3;3

3;3;3;2;3

4

3.8

2.6

2.4

2.8

-0.211289

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0XT3Lg6S2Q

Efficient Adaptive Filtering for Deformable Image registration

main

Active

Deformable image registration;Adaptive filtering;Bilateral Grid;Piece-wise Smooth

interpretability and explainable AI

3;5;5;6

4;3;4;3

2;2;3;3

3;3;2;3

2;2;2;3

4.75

3.5

2.5

2.75

2.25

-0.688247

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0Xc6o1HKXD

Multi-Perspective Test-Time Prompt Tuning for Global, Local Visuals, and Language

main

Active

Prompt Learning;Test Time Adaption;Vision-Language Models

applications to computer vision, audio, language, and other modalities

3;3;5

4;5;4

2;2;3

2;2;2

2;1;3

3.666667

4.333333

2.333333

2

-0.5

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0Xt7uT04cQ

Uni-Sign: Toward Unified Sign Language Understanding at Scale

main

Active

Sign language understanding;Pre-training;Large-scale sign language dataset

unsupervised, self-supervised, semi-supervised, and supervised representation learning

5;5;6;6;8

2;4;4;5;3

2;2;3;2;3

3;2;3;4;3

3;3;2;4;3

6

3.6

2.4

3

0

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

0YXckVo7Kw

MMCOMPOSITION: Revisiting the Compositionality of Pre-trained Vision-Language Models

main

Active

Vision-Language Models;Compositionality;Benchmark

datasets and benchmarks

5;5;5;6

3;4;4;4

3;2;2;3

5.25

3.75

2.5

0.333333

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

0Yfjerm9Zp

Enhancing LLM Faithfulness in Rationale Generation via Dual-Reward Probabilistic Inference

main

Active

interpretability;faithfulness;Large language model;constrained generation

interpretability and explainable AI

1;3;3;5

3;3;4;3

2;2;1;2

2;1;1;2

1;1;2;2

3

3.25

1.75

1.5

0

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

0YkZe9nwiC

Self-Informed Generative Active Learning

main

Active

Active Learning;Large Language Model;Synthetic Data;Reinforcement Learning

unsupervised, self-supervised, semi-supervised, and supervised representation learning

3;3;3;3;5

4;4;4;3;4

2;1;2;3;2

2;2;2;2;3

2;2;3;2;3

3.4

3.8

2

2.2

2.4

0.25

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0YxvqG9SsJ

Offline Model-Based Skill Stitching

main

Active

Skill stitching;Offline reinforcement learning;Model-based planning

reinforcement learning

3;3;5

4;4;3

2;2;2

2;2;3

3.666667

2

2.333333

-1

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

0ZcQhdyI3n

LSH Tells You What To Discard: An Adaptive Locality-Sensitive Strategy for KV Cache Compression

main

Active

kv cache;locality-sensitive hashing;compression

foundation or frontier models, including LLMs

1;3;3;5;5

4;4;4;4;4

2;2;2;2;2

1;2;1;3;2

1;1;2;3;3

3.4

4

2

1.8

2

0

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

0Zot73kfLB

GVFi: Learning 3D Gaussian Velocity Fields from Dynamic Videos

main

Active

Dynamic Reconstruction;Physics;Motion Extrapolation

applications to computer vision, audio, language, and other modalities

3;5;6;6

3;5;3;3

3;2;3;3

2;2;3;3

5

3.5

2.75

2.5

0

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

0a7TRHhhcS

Preference-Driven Spatial-Temporal Counting Process Models

main

Active

choice model;spatial-temporal counting process model

interpretability and explainable AI

3;3;6;6

4;5;4;2

2;2;3;3

2;2;3;2

2;3;3;3

4.5

3.75

2.5

2.25

2.75

-0.688247

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0aTIvSJ83I

Agnostic Sharpness-Aware Minimization

main

Active

sharpness-aware;agnostic model;optimizer;MAML;SAM

optimization

3;3;3;3

5;5;4;3

2;2;2;2

1;2;1;2

2;2;2;2

3

4.25

2

1.5

2

0

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

0aaaM31hLB

Learning Symmetries through Loss Landscape

main

Active

Unconstrained models;equivariant models;symmetries.

learning on graphs and other geometries & topologies

3;3;3;3

5;4;4;3

1;2;2;3

1;2;2;2

3;3;2;3

3

4

2

1.75

2.75

0

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

0bcRCD7YUx

VALL-E 2: Neural Codec Language Models are Human Parity Zero-Shot Text to Speech Synthesizers

main

Active

Zero-shot Text to Speech Synthesis;Speech Generation;Voice Cloning;Language Modeling;In-Context Learning

applications to computer vision, audio, language, and other modalities

3;3;6;8

4;5;4;5

3;2;3;4

2;2;3;4

3;2;3;4

5

4.5

3

2.75

3

0.235702

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 5 }, "contribution": { "value":...

0bcUyy2vdY

Multi-play Multi-armed Bandit Model with Scarce Sharable Arm Capacities

main

Active

Multi-play multi-armed bandit;scarce sharable arm capacity;regret bounds

reinforcement learning

3;5;6;8

4;3;3;4

3;3;3;4

3;2;3;3

2;3;1;3

5.5

3.5

3.25

2.75

2.25

0

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

0bmGL4q7vJ

Multi-modal Agent Tuning: Building a VLM-Driven Agent for Efficient Tool Usage

main

Active

Multimodal Agents;Vision-language Model;Tool usage

applications to computer vision, audio, language, and other modalities

5;5;8;8

3;4;3;3

2;3;3;3

3;3;3;4

6.5

3.25

2.75

3.25

-0.57735

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

0bswm093Yl

GeneBench: Systematic Evaluation of Genomic Foundation Models and Beyond

main

Active

genetic foundation model;benchmark;hybrid model

datasets and benchmarks

3;5;5;6

4;3;4;4

2;3;3;3

2;3;2;3

1;3;3;3

4.75

3.75

2.75

2.5

-0.132453

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": null, "code_of_ethics": null, "comment": { "value": "Thank you for your response. To clarify, while I was able to reproduce the results in the cu...

0cBttXaOUK

Multi-aspect Knowledge Distillation with Large Language Model

main

Active

Multi-aspect Knowledge Distillation;LLM;MLLM

transfer learning, meta learning, and lifelong learning

3;5;5;5

4;4;3;4

2;3;3;2

2;2;3;2

3;3;3;3

4.5

3.75

2.5

2.25

3

-0.333333

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

0cadcLKbt7

TPI-LLM: Serving 70B-scale LLMs Efficiently on Low-resource Edge Devices

main

Active

DML Systems;Edge LLM Serving;Tensor Parallelism;Memory Scheduling

infrastructure, software libraries, hardware, systems, etc.

1;5;5;5

5;4;4;4

1;3;2;2

1;2;3;2

1;3;2;2

4

4.25

2

-1

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 5 }, "contribution": { "value":...

0ctvBgKFgc

ProtComposer: Compositional Protein Structure Generation with 3D Ellipsoids

main

Active

protein design;diffusion model;controllable generation;drug discovery;proteins;biology

applications to physical sciences (physics, chemistry, biology, etc.)

5;8;8;8

3;4;4;3

2;3;4;4

3;3;4;3

3;3;4;4

7.25

3.5

3.25

3.5

0.57735

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

0dELcFHig2

Multi-modal brain encoding models for multi-modal stimuli

main

Active

brain encoding;fMRI;multi-modal models;multi-modal stimuli;Transformers;videos;speech;language

applications to neuroscience & cognitive science

5;5;6

4;3;4

2;3;3

3;2;3

5.333333

3.666667

2.666667

0.5

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

0e26yMOCbd

CHARGE DIRICHLET ENERGY: Geometric Perspectives on Over-smoothing in Deep Graph Neural Networks

main

Active

Graph Neural Network;Over-smoothing;Dirichlet energy

learning on graphs and other geometries & topologies

3;3;3;3;5

5;3;5;4;4

2;2;2;2;3

1;3;1;1;2

2;1;2;2;2

3.4

4.2

2.2

1.6

1.8

-0.133631

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

0e2pcSxQJS

PN-GAIL: Leveraging Non-optimal Information from Imperfect Demonstrations

main

Active

Generative adversarial imitation learning;imperfect demonstrations;reinforcement learning

reinforcement learning

5;6;6;8

3;4;4;4

3;3;3;4

3;3;3;3

3;3;4;4

6.25

3.75

3.25

3

3.5

0.662266

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

0eMsrRMmCw

Mufu: Multilingual Fused Learning for Low-Resource Translation with LLM

main

Active

translation;low-resource;large language model

applications to computer vision, audio, language, and other modalities

5;6;8

3;5;4

3;3;3

2;3;3

2;4;3

6.333333

4

3

2.666667

3

0.327327

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

0eRJRbVG95

Unraveling the Shift of Visual Information Flow in MLLMs: From Phased Interaction to Efficient Inference

main

Active

Multimodal Large Language Models;Visual Information Flow;Inference Acceleration

interpretability and explainable AI

3;3;5;5;6

4;3;3;4;3

2;1;3;3;2

2;2;3;2;3

1;3;3;3;3

4.4

3.4

2.2

2.4

2.6

-0.272166

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

0er6aOyXUD

Evaluating Robustness of Reward Models for Mathematical Reasoning

main

Active

mathematical reasoning;RLHF;reward models;reward overoptimization;language models;benchmark

datasets and benchmarks

3;5;5;5;6

4;3;4;4;4

2;2;2;2;2

1;2;3;2;2

3;3;2;3;2

4.8

3.8

2

2.6

-0.102062

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0eu837jdBD

Autoencoder-Based Hybrid Replay for Class-Incremental Learning

main

Active

Catastrophic Forgetting;Class-Incremental Learning;Continual Learning;Task Confusion.

transfer learning, meta learning, and lifelong learning

3;5;5;5

4;4;1;4

2;3;2;3

2;3;3;2

1;2;1;3

4.5

3.25

2.5

1.75

-0.333333

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0fD3iIBhlV

Emergence of a High-Dimensional Abstraction Phase in Language Transformers

main

Active

interpretability;intrinsic dimension;large language models

interpretability and explainable AI

5;5;6;6;8

3;3;4;3;5

2;3;2;3;3

3;3;2;2;3

3;3;3;3;3

6

3.6

2.6

3

0.912871

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0fJfVOSUra

ThunderKittens: Simple, Fast, and $\textit{Adorable}$ Kernels

main

Active

Systems;Kernels;Efficiency;Efficient Models;IO Awareness;GPUs

infrastructure, software libraries, hardware, systems, etc.

5;5;6;8

5;4;4;4

3;3;3;3

2;3;3;3

4;2;3;3

6

4.25

3

2.75

3

-0.471405

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0fXcrl35V0

Second-order finite-time and fixed-time systems for sparse recovery and dynamic sparse recovery

main

Withdraw

frame of defining penalty functions;noise;accelerated distributed generalized reweighted noise filtering consensus algorithm;accelerated distributed robust generalized reweighted denoise consensus algorithm;$l_p$-norm minimization;multi-target tracking

optimization

Yihua Huang

~Yihua_Huang3

0

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0fhzSFsGUT

PETRA: Parallel End-to-end Training with Reversible Architectures

main

Active

Model parallelism;Delayed gradient;Reversible architectures

optimization

5;6;8;8

4;4;5;4

2;3;3;3

2;3;3;4

3;4;4;3

6.75

4.25

2.75

3

3.5

0.555556

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0fwJMANq9P

Efficient Heuristics Generation for Solving Combinatorial Optimization Problems Using Large Language Models

main

Active

Heuristic Generation;Large Language Models;Combinatorial Optimization Problem

generative models

3;5;5;6

4;3;3;4

2;2;2;3

1;2;3;3

2;3;2;3

4.75

3.5

2.25

2.5

-0.229416

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0gGPVbRqOE

Splitted Wavelet Differential Inclusion for neural signal processing

main

Active

Wavelet smoothing;differential inclusion;weak signal;signal reconstruction;Parkinson's disease;burst activity

applications to neuroscience & cognitive science

3;3;5;6

3;4;2;2

2;2;2;4

2;2;2;3

1;2;3;2

4.25

2.75

2.5

2.25

2

-0.870388

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0gOQeSHNX1

Tackling the Abstraction and Reasoning Corpus with Vision Transformers: the Importance of 2D Representation, Positions, and Objects

main

Active

Abstraction and Reasoning Corpus;Abstract Visual Reasoning;Transformers;Vision Transformers

generative models

3;5;5;8

4;4;5;4

3;2;3;3

2;3;2;3

2;3;3;3

5.25

4.25

2.75

2.5

2.75

-0.080845

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0gVatTOgEv

Glider: Global and Local Instruction-Driven Expert Router

main

Active

Parameter Efficient Fine-Tuning;LoRA;Cross-Task Generalization

transfer learning, meta learning, and lifelong learning

3;3;5;5

3;4;3;3

2;2;3;2

2;1;2;2

3;2;3;1

4

3.25

2.25

1.75

2.25

-0.57735

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0gqCIaBRQ9

Regularized DeepIV with Model Selection

main

Active

Nonparametric estimator;instrumental variables;model selection;causal inference.

learning theory

5;5;5;6

4;4;3;3

2;3;3;3

2;3;2;4

5.25

3.5

2.75

-0.57735

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

0h6v4SpLCY

Universal generalization guarantees for Wasserstein distributionally robust models

main

Active

generalization guarantees;optimal transport;distributionally robust optimization;nonsmooth analysis

optimization

6;6;8

3;3;4

3;3;3

3;3;4

6.666667

3.333333

3

3.333333

1

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

0hc7iQLhCt

HessianGrad: Optimizing AI Systems with Hessian-Aware Textual Gradients

main

Active

LLM;Prompt Optimization;Gradient Descent

foundation or frontier models, including LLMs

3;3;5

5;4;4

3;2;3

3;3;3

3.666667

4.333333

2.666667

3

-0.5

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

0hyShAPeBj

IT$^3$: Idempotent Test-Time Training

main

Active

idempotence;generalization

unsupervised, self-supervised, semi-supervised, and supervised representation learning

3;3;3;5

5;3;3;4

2;2;2;2

2;2;2;3

3;2;4;3

3.5

3.75

2

2.25

3

0.174078

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

0iAZYF9hrl

Disentangled representations of microscopy images

main

Active

Microscopy images;Disentangled representations;Transfer learning;Interpretability

applications to physical sciences (physics, chemistry, biology, etc.)

1;3;3;3

5;4;3;5

1;1;2;2

2;1;1;1

1;2;2;2

2.5

4.25

1.5

1.25

1.75

-0.522233

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 5 }, "contribution": { "value":...

0iXfS9Smqf

Learning through experience:Episodic memory representation for cognitive agents

main

Active

Episodic Memory;Bio inspired Robot learning;incremental Memory structures

transfer learning, meta learning, and lifelong learning

3;3;3;5

3;4;4;4

3;3;2;3

2;3;3;2

2;1;2;2

3.5

3.75

2.75

2.5

1.75

0.333333

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

0iscEAo2xB

Comparing Targeting Strategies for Maximizing Social Welfare with Limited Resources

main

Active

social welfare;causality;treatment;treatment effect;targeting;risk;policymaking

alignment, fairness, safety, privacy, and societal considerations

5;5;6;10

3;4;4;4

2;3;3;4

3;3;2;4

3;2;3;4

6.5

3.75

3

0.420084

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

0jJ94VVgzi

Criteria and Bias of Parameterized Linear Regression under Edge of Stability Regime

main

Active

Edge of Stability;gradient descent;implicit bias

optimization

5;5;5;8

2;4;3;2

3;3;3;4

3;2;3;3

3;3;3;4

5.75

2.75

3.25

2.75

3.25

-0.522233

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 2 }, "contribution": { "value":...

0jUeqlQxMi

Open Vocabulary Panoptic Segmentation With Retrieval Augmentation

main

Active

Panoptic Segmentation;Open Vocabulary;Retrieval Augmentation

applications to computer vision, audio, language, and other modalities

3;3;5;5

4;4;5;3

2;1;2;2

2;2;2;2

3;2;2;2

4

1.75

2

2.25

0

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

0je4SA7Jjg

Spatiotemporal Learning on Cell-embedded Graphs

main

Active

Spatiotemporal Dynamics;Graph Learning;Physics-embeded Learning

learning on time series and dynamical systems

5;5;5;8

3;3;5;4

3;3;2;4

3;2;2;4

3;3;3;3

5.75

3.75

3

2.75

3

0.174078

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

0jmFRA64Vw

FedComLoc: Communication-Efficient Distributed Training of Sparse and Quantized Models

main

Active

Federated Learning;Compression;Sparsity;Quantization;Communication Efficiency;Local Training

optimization

3;3;3

4;4;4

2;2;1

1;2;1

2;2;2

3

4

1.666667

1.333333

2

0

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

0k7pbSxNOG

Fast Crystal Tensor Property Prediction: A General O(3)-Equivariant Framework Based on Polar Decomposition

main

Active

$O(3)$ group tensor equivariance;polar decomposition;tensor properties

applications to physical sciences (physics, chemistry, biology, etc.)

3;5;6;6

4;5;3;3

2;3;3;3

2;2;2;3

2;3;3;2

5

3.75

2.75

2.25

2.5

-0.492366

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

0koPj0cJV6

A Watermark for Black-Box Language Models

main

Active

watermarking;large language models;black-box

foundation or frontier models, including LLMs

3;5;5;6;6

4;3;3;3;4

2;2;2;4;3

1;3;2;2;3

1;2;2;3;3

5

3.4

2.6

2.2

-0.372678

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

0lMhptUGxP

Large Language Model Alignment via Inverse Reinforcement Learning from Demonstrations

main

Active

Large Language Model Alignment;Alignment from Demonstration

alignment, fairness, safety, privacy, and societal considerations

1;5;5;5

4;5;4;4

2;3;3;3

1;2;3;2

2;4;2;2

4

4.25

2.75

2

2.5

0.333333

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

0lVQBMhsPG

ETC: Towards Training-Efficient Video Synthesis with Exploiting Temporal Capabilities of Spatial Attention

main

Active

Efficient Video Generation;Video Diffusion Model

generative models

3;3;5;5;5

4;5;5;5;5

1;1;2;2;2

2;2;2;3;3

4.2

4.8

1.6

2.4

0.612372

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 5 }, "contribution": { "value":...

0m27tvXkNm

Robust EEG Classification via Graph Neural Networks

main

Withdraw

EEG Classification;Graph Neural Networks;Dynamic Time Warping

learning on time series and dynamical systems

Nourhan Ahmed;Johannes Burchert;Vijaya Krishna Yalavarthi;Maximilian Stubbemann;Lars Schmidt-Thieme

~Nourhan_Ahmed1;~Johannes_Burchert1;~Vijaya_Krishna_Yalavarthi1;~Maximilian_Stubbemann1;~Lars_Schmidt-Thieme1

0

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": null, "code_of_ethics": null, "comment": null, "confidence": null, "contribution": null, "desk_reject_comments": null, "details_of_ethi...

0mJZplhexS

Speeding Up Image Classifiers with Little Companions

main

Active

model compression;computer vision;efficiency

applications to computer vision, audio, language, and other modalities

3;5;5;5

3;4;3;3

3;2;2;3

2;2;3;2

3;4;3;3

4.5

3.25

2.5

2.25

3.25

0.333333

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

0mdUV1pLGP

Hawkes process revisited: balancing interpretability and flexibility with contextualized event embeddings and a neural impact kernel

main

Active

Event sequence;Hawkes Process;Interpretability;Embedding Space

interpretability and explainable AI

3;3;3;5

4;5;4;4

3;2;2;2

1;2;1;2

3;2;2;3

3.5

4.25

2.25

1.5

2.5

-0.333333

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

0mo2yqOS6Z

Enhancing Accuracy and Parameter Efficiency of Neural Representations for Network Parameterization

main

Active

Implicit Neural Representations;Parameter Generation;Network Prediction;Distillation

other topics in machine learning (i.e., none of the above)

5;5;5;6;6

5;4;4;4;3

1;3;2;3;3

2;3;1;3;3

3;2;2;3;3

5.4

4

2.4

2.6

-0.645497

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

0mtz0pet1z

Incremental Causal Effect for Time to Treatment Initialization

main

Active

Causal Inference;Positivity;Incremental intervention;Incremental Causal Effect;Inverse probability weighting

causal reasoning

3;6;6;6

3;4;3;2

3;2;3;3

2;2;2;3

1;3;3;3

5.25

3

2.75

2.25

2.5

0

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

0n4bS0R5MM

VD3D: Taming Large Video Diffusion Transformers for 3D Camera Control

main

Active

video generation;3d;diffusion

generative models

5;6;6;8;8

5;4;5;3;4

2;3;3;3;3

2;3;2;3;2

2;3;3;3;3

6.6

4.2

2.8

2.4

2.8

-0.801784

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

0nJEgNpb4l

PEAR: Primitive Enabled Adaptive Relabeling for Boosting Hierarchical Reinforcement Learning

main

Active

Hierarchical reinforcement learning;Learning from demonstrations

reinforcement learning

5;5;5;8

4;4;3;4

3;2;3;3

2;2;2;3

2;3;2;4

5.75

3.75

2.75

2.25

2.75

0.333333

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

0nJt9aVGtl

WaveDiffusion: Exploring Full Waveform Inversion via Joint Diffusion in the Latent Space

main

Active

Full waveform inversion;Diffusion model;Partial differential equation

applications to physical sciences (physics, chemistry, biology, etc.)

3;3;6;6

5;5;3;4

3;3;3;3

2;1;3;3

2;3;4;3

4.5

4.25

3

2.25

3

-0.904534

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

0no1Wp2R2j

Going Beyond Feature Similarity: Effective Dataset distillation based on Class-aware Conditional Mutual Information

main

Active

dataset distillation;conditional mutual information

other topics in machine learning (i.e., none of the above)

3;6;6;6

4;3;4;4

2;3;3;3

3;2;3;3

5.25

3.75

2.75

-0.333333

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

0nxocR2qx4

ROPO: Robust Preference Optimization for Large Language Models

main

Active

preference optimization;large language models;noise tolerance

foundation or frontier models, including LLMs

5;6;6

4;4;4

2;3;3

3;3;2

5.666667

4

2.666667

0

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

0oWGVvC6oq

On Bits and Bandits: Quantifying the Regret-Information Trade-off

main

Active

Online learning;Information theory;Bayesian regret;Bandits

reinforcement learning

5;6;6;8

3;3;3;3

3;2;2;3

1;3;3;3

6.25

3

2.5

0

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

0ov0dMQ3mN

CO-MOT: Boosting End-to-end Transformer-based Multi-Object Tracking via Coopetition Label Assignment and Shadow Sets

main

Active

End-to-End Tracking;Transformer;Multi-object Tracking

applications to computer vision, audio, language, and other modalities

3;5;5;6

4;4;5;5

3;2;3;3

2;2;2;3

2;1;2;3

4.75

4.5

2.75

2.25

2

0.688247

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 5 }, "contribution": { "value":...

0owAtTCOlU

GRIC: General Representation and Informative Content for Enhanced Out-of-Distribution Detection

main

Active

Out-of-Distribution Detection

other topics in machine learning (i.e., none of the above)

3;3;3;5

5;4;4;4

2;2;2;3

3;2;2;2

3.5

4.25

2.25

-0.333333

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

0owyEm6FAk

Attack on LLMs: LoRA Once, Backdoor Everywhere in the Share-and-Play Ecosystem

main

Active

LoRA;PEFT;LLM Safety;Backdoor;Backdoor Attack

alignment, fairness, safety, privacy, and societal considerations

3;5;5;5;5;5

5;4;2;3;4;4

1;2;3;3;2;3

1;2;2;3;3;2

2;3;4;3;2;3

4.666667

3.666667

2.333333

2.166667

2.833333

-0.632456

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

0pLCDJVVRD

A Percolation Model of Emergence: Analyzing Transformers Trained on a Formal Language

main

Active

Emergence;Percolation;Formal languages

alignment, fairness, safety, privacy, and societal considerations

5;5;6;8

4;3;3;3

3;2;3;3

3;4;2;4

6

3.25

2.75

3.25

-0.471405

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

0pbxX2jatP

Measuring Free-Form Decision-Making Inconsistency of Language Models in Military Crisis Simulations

main

Active

Language Models;AI Safety;Natural Language Processing;Inconsistency;Transparency;Military

alignment, fairness, safety, privacy, and societal considerations

3;5;5

5;4;4

3;2;3

2;2;2

4;3;4

4.333333

2.666667

2

3.666667

-1

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

0py3h7pops

Will the Inclusion of Generated Data Amplify Bias Across Generations in Future Image Classification Models?

main

Active

model bias;image classification

interpretability and explainable AI

3;5;6;6

4;3;3;4

2;3;3;3

2;2;2;2

2;2;2;3

5

3.5

2.75

2

2.25

-0.408248

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

0qexTTfnmH

ME-LORA: MEMORY-EFFICIENT BAYESIAN LOW- RANK ADAPTATION FOR LARGE LANGUAGE MODELS

main

Active

Large Language Models;Low-rank adaptation;Bayesian estimation;Fine-tune

foundation or frontier models, including LLMs

3;3;3;6

4;3;4;3

3;2;2;3

2;2;2;3

2;2;3;3

3.75

3.5

2.5

2.25

2.5

-0.57735

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

0qfIhtel8N

Liquid Dino: A Multi-Task Neural Network towards Autonomous Driving

main

Active

Autonomous Driving;Multi-task Learning;Advanced Driver-Assistance Systems (ADAS);Deep Learning

applications to computer vision, audio, language, and other modalities

3;3;3

5;4;4

2;2;2

2;3;2

3

4.333333

2

2.333333

0

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

0qrTH5AZVt

ConLUX: Concept-Based Local Unified Explanations

main

Active

local model-agnostic explanations;post-hoc XAI;concept-based XAI

interpretability and explainable AI

3;5;6

4;3;4

3;2;3

2;2;2

2;2;3

4.666667

3.666667

2.666667

2

2.333333

-0.188982

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

0quBGOPP5V

Deep ECG-Report Interaction Framework for Cross-Modal Representation Learning

main

Active

Multi-modal Representation Learning;ECG signal;Report Generation;Zero-shot Classification

unsupervised, self-supervised, semi-supervised, and supervised representation learning

3;3;3;6

5;5;5;4

3;2;2;3

2;1;2;3

3;2;3;2

3.75

4.75

2.5

2

2.5

-1

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

0rACj8JLAL

BOOD: Boundary-based Out-Of-Distribution Data Generation

main

Active

OOD detection;Diffusion models;Training data generation

datasets and benchmarks

5;5;5;6

4;4;3;4

3;3;2;3

2;3;2;2

3;3;2;3

5.25

3.75

2.75

2.25

2.75

0.333333

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

0rS9o1uKqu

Training-Like Data Reconstruction

main

Active

Network Inversion;Interpretability;Privacy;Training Data Reconstruction

alignment, fairness, safety, privacy, and societal considerations

1;3;3;3

5;3;3;4

3;2;2;1

1;2;2;2

2;2;2;2

2.5

3.75

2

1.75

2

-0.870388

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0rmOx0Ifbf

Controlled Generation of Natural Adversarial Documents for Stealthy Retrieval Poisoning

main

Active

Dense Retrieval;Corpus Poisoning;Adversarial Attack

alignment, fairness, safety, privacy, and societal considerations

3;3;5;5;5

5;4;4;3;4

2;2;3;2;2

2;1;2;2;3

3;1;2;2;3

4.2

4

2.2

2

2.2

-0.645497

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0sJ8TqOLGS

LLM Spark: Critical Thinking Evaluation of Large Language Models

main

Active

critical thinking;llm;problem-solving;benchmarks

datasets and benchmarks

3;3;5;8

4;4;3;3

2;2;2;3

2;1;3;3

4.75

3.5

2.25

-0.855186

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

0sU4myabw1

RapidDock: Unlocking Proteome-scale Molecular Docking

main

Active

molecular docking;protein-ligand binding;transformer;equivariance;high-throughput screening;drug discovery

applications to physical sciences (physics, chemistry, biology, etc.)

3;3;5;5

3;3;5;4

3;1;3;3

2;3;2;2

3;1;2;4

4

3.75

2.5

2.25

2.5

0.904534

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

0sary0UZn5

On the Limitation and Redundancy of Transformers: A Rank Perspective

main

Active

Transformers;self-attention;low-rank;redundancy;model reduction

interpretability and explainable AI

3;3;5;8

3;4;4;3

2;1;3;4

2;1;2;4

2;2;3;4

4.75

3.5

2.5

2.25

2.75

-0.366508

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0spR7wDwBh

A grid world agent with favorable inductive biases

main

Active

intrinsic rewards;inductive biases;planning;uncertainty;deep reinforcement learning;reinforcement learning

reinforcement learning

3;5;5;5;8

3;4;4;3;2

2;3;3;3;3

2;3;2;3;3

2;2;3;2;4

5.2

3.2

2.8

2.6

-0.534522

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

0sr8bS4S2H

AgentStore: Scalable Integration of Heterogeneous Agents As Specialized Generalist Computer Assistant

main

Active

human-computer interactions;multi-agent;multimodal learning

applications to robotics, autonomy, planning

3;3;5;6

3;4;4;4

2;2;1;3

2;2;2;3

3;2;2;4

4.25

3.75

2

2.25

2.75

0.555556

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0tAXMiSufG

BOND: Aligning LLMs with Best-of-N Distillation

main

Active

LLM;Alignment;RLHF;Best-of-N

foundation or frontier models, including LLMs

5;6;6;6;6

4;4;4;3;4

3;4;3;4;3

3;3;3;3;3

2;2;2;3;3

5.8

3.8

3.4

3

2.4

-0.25

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

0tAn34IkXI

Flat Posterior Does Matter For Bayesian Model Averaging

main

Active

Bayesian Neural Network;Bayesian Deep Learning;Flatness-aware Optimization;Bayesian Transfer Learning

probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.)

3;3;5;6

3;4;3;4

3;2;2;3

1;2;2;3

3;3;3;3

4.25

3.5

2.5

2

3

0.19245

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

0tIiMNNmdm

Limitations of measure-first protocols in quantum machine learning

main

Active

quantum machine learning;machine learning;learning separation

learning theory

3;6;6

3;5;4

1;4;3

2;3;3

5

4

2.666667

0.866025

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

0tMcsHsHgQ

Towards Undistillable Models by Minimizing Conditional Mutual Information

main

Active

Nasty teacher;Knowledge distillation;Intellectual property protection

alignment, fairness, safety, privacy, and societal considerations

3;3;5;5

3;4;3;4

3;2;3;3

2;2;3;2

2;1;3;2

4

3.5

2.75

2.25

2

0

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

0tXmtd0vZG

Enhancing Decision-Making of Large Language Models via Actor-Critic

main

Active

Large Language Models;Decision-Making;Actor-Critic

foundation or frontier models, including LLMs

3;5;6;6

4;4;3;4

2;3;3;2

2;2;3;3

1;2;3;2

5

3.75

2.5

2

-0.471405

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0uFTqvQhML

MagicDrive3D: Controllable 3D Generation for Any-View Rendering in Street Scenes

main

Active

controllable 3D scene generation;3D gaussian splatting;autonomous driving

generative models

3;5;6;6

5;4;5;5

2;3;3;3

2;2;3;3

2;3;3;3

5

4.75

2.75

2.5

2.75

0

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 5 }, "contribution": { "value":...

0uRc3CfJIQ

ORSO: Accelerating Reward Design via Online Reward Selection and Policy Optimization

main

Active

Reinforcement Learning;Reward Design;Reward Selection

reinforcement learning

3;5;6;6;8

3;4;3;4;4

3;2;3;3;3

2;2;2;3;3

2;3;3;3;4

5.6

3.6

2.8

2.4

3

0.552771

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

0vKokoPKTo

Towards Geometry Problems Solving Employing GPT-4 Vision with Few-Shot Prompting: An Empirical Study of What Matters

main

Active

Large Language Models;Mathematical Reasoning;Geometry Problem Solving;Prompting Methods

foundation or frontier models, including LLMs

3;3;3;5

4;4;4;4

3;1;2;2

2;2;2;2

2;2;2;3

3.5

4

2

2.25

0

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

0vMLqSdsKW

A Unified Causal Framework for Auditing Recommender Systems for Ethical Concerns

main

Active

recommender systems;causality;evaluation;auditing;machine learning

alignment, fairness, safety, privacy, and societal considerations

3;3;5;5

3;3;5;3

2;3;2;3

2;3;2;2

3;2;2;3

4

3.5

2.5

2.25

2.5

0.57735

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

0vtftmYQGV

SNAP-TTA: Sparse Test-Time Adaptation for Latency-Sensitive Applications

main

Active

Test-Time Adaptation;Unsupervised Domain Adaptation

transfer learning, meta learning, and lifelong learning

3;5;5;6

5;3;4;2

2;3;2;3

2;2;2;2

2;3;2;3

4.75

3.5

2.5

2

2.5

-0.923381

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0wQCSXJbwt

Temporal-Difference Variational Continual Learning

main

Active

continual learning;online variational inference;temporal-difference learning

probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.)

3;3;5;6

3;5;4;5

2;2;3;3

1;2;3;2

3;2;3;3

4.25

2.5

2

2.75

0.406181

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0wfmHoKQX6

Replicate and Quantize: A Plug-and-Play Strategy for Load Balancing in Sparse Mixture-of-Experts LLMs

main

Active

mixture-of-experts;load balance

other topics in machine learning (i.e., none of the above)

3;3;5;5

3;4;4;2

2;2;2;2

3;2;3;2

4

3.25

2

2.5

-0.301511

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0whx8MhysK

Influence-Guided Diffusion for Dataset Distillation

main

Active

Dataset Distillation;Dataset Condensation;Diffusion Model;Guided Diffusion Generation

applications to computer vision, audio, language, and other modalities

5;5;6;6;8

4;4;4;4;4

3;3;3;3;3

2;2;3;3;3

3;3;3;3;4

6

4

3

2.6

3.2

0

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

0wmfzWPAFu

Methods for Convex $(L_0,L_1)$-Smooth Optimization: Clipping, Acceleration, and Adaptivity

main

Active

generalized smoothness;first-order optimization;convex optimization;Polyak stepsizes;gradient clipping;adaptive optimization;acceleration

optimization

5;5;5;6;8

3;4;3;5;4

2;3;3;3;4

2;2;1;3;4

3;3;3;4;4

5.8

3.8

3

2.4

3.4

0.412514

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

0x8wWloW2O

OracleMamba: A Dynamic Market-Guided and Time State Selection Framework for Robust Stock Prediction

main

Active

deep learning;time series

learning on time series and dynamical systems

1;5;5;5

4;4;4;4

2;2;2;2

1;2;2;2

2;3;2;2

4

2

1.75

2.25

0

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

0xUEBQV54B

Large Language Monkeys: Scaling Inference Compute with Repeated Sampling

main

Active

Inference-Time Compute;Large Language Models

foundation or frontier models, including LLMs

3;3;5;5

4;4;4;4

2;2;3;3

1;2;2;1

3;4;2;3

4

2.5

1.5

3

0

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

0y3hGn1wOk

Benchmarking Vision Language Model Unlearning via Fictitious Facial Identity Dataset

main

Active

Machine Unlearning;Vision Language Model;Privacy

alignment, fairness, safety, privacy, and societal considerations

5;5;5;6;6

4;5;4;5;3

2;3;2;3;3

3;3;3;4;3

5.4

4.2

2.6

3.2

-0.218218

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

0yTf37PXcH

Improving Multi-modal Large Language Model through Boosting Vision Capabilities

main

Active

Multi-modal Large Language Model;Boosting Vision Capabilities;Multi-modal Lora;Ladder Adapter

applications to computer vision, audio, language, and other modalities

3;5;5;5;8

4;5;4;4;5

2;3;2;3;3

2;3;1;2;3

2;4;3;3;4

5.2

4.4

2.6

2.2

3.2

0.663403

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

0yVP49SDg0

Mamba-HMIL: Hierarchical Multiple Instance Learning via State Space Model for Whole Slide Image Diagnosis

main

Active

Whole Slide Images;Hierarchical Multiple Instance Learning;State Space Model.

applications to physical sciences (physics, chemistry, biology, etc.)

1;3;3;6

5;3;5;5

1;2;1;3

1;2;1;2

1;2;2;3

3.25

4.5

1.75

1.5

2

0.080845

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